Track accepted paper

CiteScore:
3.00ℹCiteScore:2017: 3.000CiteScore measures the average citations received per document published in this title. CiteScore values are based on citation counts in a given year (e.g. 2015) to documents published in three previous calendar years (e.g. 2012 – 14), divided by the number of documents in these three previous years (e.g. 2012 – 14).

Impact Factor:
1.952ℹImpact Factor:2017: 1.952The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years.
2018 Journal Citation Reports (Clarivate Analytics, 2019)

5-Year Impact Factor:
2.350ℹFive-Year Impact Factor:2017: 2.350To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years.
2018 Journal Citation Reports (Clarivate Analytics, 2019)

Source Normalized Impact per Paper (SNIP):
1.580ℹSource Normalized Impact per Paper (SNIP):2017: 1.580SNIP measures contextual citation impact by weighting citations based on the total number of citations in a subject field.

SCImago Journal Rank (SJR):
0.662ℹSCImago Journal Rank (SJR):2017: 0.662SJR is a prestige metric based on the idea that not all citations are the same. SJR uses a similar algorithm as the Google page rank; it provides a quantitative and a qualitative measure of the journal’s impact.

Author StatsℹAuthor Stats:Publishing your article with us has many benefits, such as having access to a personal dashboard: citation and usage data on your publications in one place. This free service is available to anyone who has published and whose publication is in Scopus.

Special Issue on Hierarchical Representations: New Results and Challenges for Image Analysis

1) Motivation and topics

Image representations based on hierarchical, scale-space models and other non-regular / irregular grids have become increasingly popular in image processing and computer vision over the past decades. Indeed, they allow a modeling of image contents at different (and complementary) levels of scales, resolutions and semantics. Methods based on such image representations have been able to tackle various complex challenges such as multi-scale image segmentation, image filtering, object detection, recognition, and more recently image characterization and understanding, potentially involving higher level of semantics.

The proposed virtual special issue will consider extended and updated versions of papers published at the recent ICPRAI 2018 conference as well as submissions from anybody proposing innovative methods in the field of image representation with emphasis, but not restricted to computer vision and image processing, medical imaging, 2D and 3D images, multi-modality, remote sensing image analysis, image indexation and understanding.

The main topics of this HIERARCHY virtual special issue include, but are not limited to:

The aim of this virtual special issue is to popularize the use of hierarchical methods in image processing and analysis. Indeed, although these methods have become very popular in computer vision over the last 20 years, their potential impact is largely underexploited in image processing and analysis.

2) Important dates

Submission period of articles

May, 1st – 31st 2019

First reviewing process, notification to authors

July, 1st 2019

Submission of revised articles

September, 1st 2019

Final decision (after first revision)

October, 1st 2019

Authors can submit exclusively during the submission period and they should select the acronym of the VSI (Acronym：HIERARCHY) as “article type” when uploading their articles.

1) Reviewing process

The review process will follow the standard PRLetters scheme. In particular, each paper will be reviewed by two referees. The referees will include the program committee members of the special session at ICPRAI 2018 on the same topic and other invited referees selected from the EES.

2) Submission guidelines

This is an open call-for-papers from outside the ICPRAI 2018 conference, though participants of the virtual special session on hierarchical representations of images will be invited to submit an extended article of their contribution. These articles must include at least 30% of new contribution (theoretical or experimental results), with different figures and a different title than the one of the ICPRAI paper. The common content between the ICPRAI paper and the HIERARCHY article cannot be exactly the same. This virtual special issue also accepts totally new proposals; both types of submissions must respect the following guidelines.

All submissions have to be prepared according to the Guide for Authors as published in the Journal Web Site at http://www.elsevier.com/journals/pattern-recognition-letters/0167-8655/guide-for-authors.

The authors are invited to upload their article through http://ees.elsevier.com/prletters/ during the submission period (see previous section), by indicating the virtual special issue acronym (HIERARCHY). Their contribution should not have been published previously, or not be under revision for any other publication elsewhere. In the case of an extension of ICPRAI session, the original work must be attached, and a description of major changes must be provided. Guest editors will judge the suitability and scope of each contribution.

All submitted papers will be reviewed according to the guidelines and standards of PRLetters. At least two (2) reviewers will be assigned, and 2 reviewing rounds can occur for each submitted article. The maximal length is 7 pages, except for articles requiring major revision and additional content by the reviewers, for which the maximal length can be extended to 8 pages. If an article still need major revision after the second round, it will be rejected.

Only original, high-quality, technically sound articles and in-line with the PRLetters standard guidelines, will be considered for publication in this virtual special issue. Submissions will be judged by their contributions to the virtual special issue topics, clarity of presentation, potential impact to the field, and suitability to publication in an archival journal.